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Increasing business competition requires companies to consistently improve quality and operational efficiency. This study aims to identify and reduce non-value added activities in the procurement process at Distributor X, a company engaged in the distribution of instant cooking spices. Common issues include expired goods (49.05%), damaged packaging (18.78%), and product mismatches (32.17%). The Lean Six Sigma approach with the DMAIC (Define, Measure, Analyze, Improve, Control) method is used to address these problems. Measurement results show an average DPMO value of 10,076.58 and a sigma level of 3.82, which are still far below the Six Sigma quality standard. Improvement proposals include the implementation of barcode/RFID systems, FIFO inventory management, higher-quality packaging materials, and the use of unique product codes. In the Control phase, monitoring is carried out through an ERP system and the establishment of structured SOPs to support distribution oversight. This approach demonstrates potential in reducing defect rates and improving the overall quality of the procurement process.

Distribution is an important aspect that affects the operational efficiency of a company, especially in terms of goods delivery. This study aims to develop an optimization model for LPG gas distribution routes using Excel Solver based on geographic coordinate conversion. In this study, the method used includes converting geographic coordinates from decimal to Degree-Minute-Second (DMS) format, followed by conversion to kilometers to form a more accurate distance matrix. The optimization model was built using the Capacitated Vehicle Routing Problem (CVRP) approach, which takes into account vehicle capacity constraints (a maximum of 560 cylinders per truck) and the limited number of available fleets, which is only one truck. The results show that coordinate conversion produces high accuracy in calculating distances between distribution locations. By using Excel Solver, the optimization solution successfully minimizes the total distance traveled compared to the conventional route, where distribution is carried out more evenly to 57 scattered LPG base locations. The addition of Solver Parameters Evolutionary and All Different constraints proved effective in avoiding duplication of visits and producing optimal distribution routes. This solution not only improves distribution time and cost efficiency, but also improves service to customers by reducing delivery delays. The success of this optimization model is expected to be implemented by other distribution companies to improve their operational performance. This study also highlights the importance of selecting the right software to aid the distribution optimization process. Excel Solver, despite its simplicity, proved highly effective in solving complex distribution routing problems, especially when combined with coordinate conversion techniques that yield more accurate distances. Furthermore, the application of the CVRP method enabled more efficient decision-making in determining distribution routes, taking into account vehicle capacity and fleet limitations.

This research was conducted with the aim of optimizing the assignment of working hours in the Procurement Division of PT. Pelindo Multi Terminal through the application of the Hungarian method. The fundamental problem faced is the imbalance between the number of permanent workers and the high workload that must be completed, thus creating a risk of inefficiency in the operational process. To address this problem, a quantitative approach was used with linear programming modeling techniques designed to produce a more systematic and measurable assignment allocation. Through the analysis conducted, an optimal solution was obtained regarding the distribution of working hours, where the total working time can be reduced to 10,120 minutes per month, lower than the previously set maximum limit of 10,560 minutes per month. These results indicate that the application of the Hungarian method is not only able to reduce excessive workloads on some employees, but also ensures a more proportional distribution of assignments among all available workers. In addition, this method can increase operational effectiveness because each worker receives a load according to their capacity, so that the risk of fatigue or decreased performance can be minimized. The findings of this study confirm that the Hungarian method is an alternative work scheduling strategy that is efficient to be applied in industrial environments with high task complexity. Proper implementation can also support the achievement of overall company productivity, improve the quality of human resource management, and strengthen the company's competitiveness in facing future operational challenges.

This study aims to analyze the influence of company characteristics, including Current Ratio, Debt to Asset Ratio, and Company Size, on Financial Performance. The population studied consists of companies in the F& B sector listed on the IDX during the period 2020-2024. The sample in this study was selected using the purposive sampling method. Out of the 24 companies listed in the sector, 3 companies were eliminated because they did not meet the established criteria, resulting in a final sample size of 21 companies. To test the influence of independent variables on the dependent variable, the multiple linear regression analysis technique was applied. The research results show that Company Size has a positive and significant effect on financial performance, while the Debt to Asset Ratio has a negative and significant effect on financial performance. On the other hand, the Current Ratio does not show a significant effect on financial performance. However, the Current Ratio does not appear to significantly affect financial performance. While it is a measure of liquidity, the results of this study suggest that liquidity alone does not guarantee profitability or financial success. It is possible that other factors, such as market conditions or management practices, may play a more dominant role in influencing financial performance. Overall, this research emphasizes the need for companies in the F&B sector to carefully manage their debt levels and consider the benefits of growing their company size to improve financial performance. Future studies could explore the role of other factors, such as operational efficiency and market conditions, to gain a more comprehensive understanding of what drives financial success in the industry.

This study analyzes the effectiveness of implementing predictive maintenance (PdM) on the final drive components of the Komatsu PC200-8 unit at PT. Antareja Mahada Makmur, Site PT. Multi Harapan Utama, East Kalimantan, in an effort to reduce downtime and operational losses. Before the implementation of PdM in 2022, there were 12 repair cases for the final drive with a total downtime of 772.1 hours, repair costs amounting to IDR 310.6 million, rental income loss of IDR 208.03 million, and total losses of IDR 518.63 million. In 2023, during the PdM transition phase, the number of cases decreased to 4, with a total loss of IDR 252.05 million, although downtime remained high (714.6 hours) due to the limited scope of PdM implementation on certain units and components. In 2024, with full PdM implementation, the number of repair cases decreased to 5, with total downtime of only 96 hours and losses of IDR 45.75 million. The cost of PdM implementation for the year was only IDR 21.9 million. As of July 2025, no further damage to the final drive has been recorded, demonstrating a significant improvement in equipment reliability. The reduction in total losses from 2022 to 2024 amounted to IDR 472.88 million, indicating PdM’s effectiveness in avoiding significant costs through condition monitoring methods such as oil analysis, magnetic plug rating, thermal inspection, and oil leak testing (floating seal). The findings of this study confirm that PdM is effective in reducing downtime, repair costs, and enhancing asset management in the mining sector. It also improves equipment reliability and overall operational efficiency, proving PdM to be a successful strategy in reducing losses, increasing productivity, and supporting the sustainability of company operations.

This study aims to analyze the causes of component failure in the Power Train system of unit OHT773E CO2278 at PT. Cipta Kridatama, Samarinda, using the Root Cause Failure Analysis (RCFA) method. The Power Train system is responsible for transferring power from the engine to the final drive and other components, making it critical for the operational success of heavy equipment. Therefore, optimal maintenance is essential to prevent fatal failures that could impact the unit's performance. Based on the analysis, the dominant cause of failure is human factors, particularly technician negligence during component installation. This negligence results from a lack of understanding of the procedures and specifications recommended by the manufacturer, leading to incorrect installation of components. This failure impacts the achievement of the component’s expected lifetime, thus shortening the operational life of the components and increasing the risk of more severe damage. This also leads to higher repair costs and reduced unit productivity, resulting in longer downtime. To address this issue, several preventive measures are recommended, such as regular training for technicians to enhance their understanding of correct procedures and specifications, as well as the importance of following manufacturer guidelines during every maintenance and installation process. Additionally, it is advised to conduct routine discussions between technicians and supervisors to ensure that every maintenance step and installation complies with the established procedures. Increased oversight of the installation and maintenance process is also necessary, along with periodic rejuvenation of components to ensure the optimal performance of the Power Train system. Strengthening Preventive Maintenance (PM) practices is also crucial to minimize future damage potential. Implementing these solutions is expected to enhance the reliability of the Power Train system, extend component lifespan, and reduce failure frequency, ultimately improving the overall efficiency and productivity of the company.

A company's financial performance is one of the main indicators in assessing the health and sustainability of a business entity's operations. Evaluation of financial performance is crucial, especially for large companies operating in strategic sectors such as telecommunications. PT. XL, as a telecommunications company listed on the Indonesia Stock Exchange, requires regular performance assessments to provide a clear picture of the effectiveness of its business strategy and its ability to generate profits. This study aims to analyze PT. XL's financial performance using a profitability ratio approach. The research method used is descriptive quantitative, utilizing secondary data sourced from the company's financial statements, including the balance sheet, income statement, and other financial statements for the 2021–2023 period. The profitability ratios analyzed include Net Profit Margin (NPM), Return on Assets (ROA), Return on Equity (ROE), Gross Profit Margin (GPM), and Earnings Per Share (EPS). These five ratios were chosen because they are able to describe the company's ability to generate profits, both in terms of sales, total assets, and shareholder equity. The analysis results indicate that PT. XL's financial performance during the study period is still less than optimal. This is reflected in the profitability ratio, which is below the average standard for the Indonesian telecommunications industry. This condition indicates that the company has not been able to optimally manage its resources to generate competitive profits. This finding has important implications, namely the need to evaluate financial management strategies, operational cost efficiency, and improve service quality to increase company profitability in the future. Therefore, this study confirms that profitability ratio analysis is a crucial instrument for assessing a company's financial condition and serves as a basis for formulating performance improvement strategies.  

In light of the moderating effects of organizational readiness (OR) and digital literacy (DL), this study attempts to examine how business intelligence (BI) affects the sustainable performance and decision-making quality of SMEs in Lampung Province.  This study used a convergent parallel design and a mixed methods approach, integrating both qualitative and quantitative data to offer a thorough insight.  In-depth interviews with 15 important informants provided qualitative data, while purposive sampling was used to choose 200 SMEs as respondents for quantitative data. The outer and inner models were evaluated in a quantitative study using Partial Least Squares Structural Equation Modeling (PLS-SEM), and thematic analysis was used to examine the qualitative data. The findings demonstrated that BI significantly influences sustainable performance (β=0.24, p<0.001) and decision quality (β=0.65, p<0.001), both directly and via decision quality mediation (β=0.58, p<0.001). The association between BI and decision quality was found to be strengthened by OR and DL.  SME players stress the significance of rapid, precise, and integrated data access in enhancing the precision of company strategy, and qualitative findings corroborate the quantitative findings. This study offers useful suggestions for boosting SMEs' competitiveness in the age of digital transformation.

This study aims to identify, assess, and control risks that arise in container loading and unloading activities at PT Dunia Express Transindo using the Enterprise Risk Management (ERM) approach. Container loading and unloading activities are complex and involve various parties, making them highly susceptible to risks, both from internal and external aspects. Risks that can occur include system disruptions, operational negligence, equipment damage, and environmental factors such as extreme weather that can affect the smoothness of the loading and unloading process. Therefore, the company needs to have a structured, comprehensive, and sustainable risk management system to maintain operational continuity. This research method refers to the COSO framework and the ISO 31000:2018 standard which focuses on the process of risk identification, assessment of likelihood and impact levels, and formulation of appropriate mitigation strategies. Data were obtained through interviews with management, field observations, and analysis of company documents. The results of the study indicate that the implementation of ERM is able to map risks more systematically, making it easier for the company to determine handling priorities. Several risks with a high probability and significant impact received special attention through the implementation of mitigation strategies such as improving information technology systems, routine employee training, and more scheduled equipment maintenance. These findings indicate that ERM implementation not only functions as a risk control tool but also plays a role in increasing operational efficiency, strengthening inter-departmental coordination, and minimizing potential losses that could disrupt company stability. Furthermore, ERM implementation makes a real contribution to increasing the competitiveness of companies in the logistics and stevedoring sector, especially in facing dynamic business challenges and external environmental uncertainty.

This study the analyze the influence of financial performance as a predictor of stock price in the property and real estate sector listed on the IDX for the 2020-2024 period, using a sample consists of 12 property companies. The financial performance variables used in this study include ROE, EPS, CR, and TATO. The result of show that simultaneously,all four variables have a significant  effect on stock prices. Partially, only ROE, EPS, and TATO have a significant impact, while CR has no significant effect. The analysis methods include descriptive statistics, classical assumption tests, multiple linear regression, and F Satatistical tests. The findings confirm that profitability, particularly (ROE and EPS) and asset efficiency (TATO), are the factors consideres  by investors when evaluating stocks in the property sector.  The analysis methods used in this study include descriptive statistics to summarize the data, classical assumption tests to ensure the validity of the regression model, multiple linear regression to examine the relationship between the financial performance variables and stock prices, and F-statistical tests to evaluate the overall significance of the model. The findings suggest that profitability, particularly ROE and EPS, and asset efficiency, represented by TATO, are the key factors considered by investors when evaluating stocks in the property sector.These results imply that investors in the property and real estate sector prioritize financial performance metrics that reflect the company's ability to generate returns and utilize its assets effectively. Specifically, ROE and EPS serve as crucial indicators of profitability and are closely monitored by market participants. On the other hand, CR, which measures the company's short-term liquidity, does not appear to have the same level of influence on stock prices.  

This study aims to analyze the effect of leverage measured by Debt to Asset Ratio (DAR) and activity ratio measured by Total Asset Turnover (TATO) on profitability measured by Return On Assets (ROA) at PT ABC Indonesia Tbk for the 2015–2024 period. The analysis is carried out both partially and simultaneously to provide an overview of the factors that affect the company's profitability. The type of research used is descriptive quantitative with secondary data obtained from the company's annual financial statements, in the form of balance sheet and income statements. Data analysis methods include t-test, f-test, and determination coefficient (R²). The results of the study show that partially, the Debt to Asset Ratio (DAR) does not have a significant effect on the Return On Assets (ROA). This indicates that the company's leverage level, in the form of a comparison of total debt to total assets, did not directly contribute to the level of profitability during the study period. Similarly, Total Asset Turnover (TATO) is also partially unaffected by ROA. These findings suggest that the effectiveness of a company in utilizing total assets to generate sales has not fully affected profitability. However, the results of the simultaneous test (F test) showed that DAR and TATO together had a significant effect on ROA. A determination coefficient value (R²) of 0.6037 or 60.37% indicates that the variation in the company's profitability can be explained by these two independent variables. Meanwhile, the remaining 39.63% was influenced by other factors outside the research model, such as operational efficiency, cost structure, marketing strategy, and external conditions of the retail industry. Thus, this study confirms the importance of comprehensively considering leverage and asset activity in managing a company's profitability, although the partial influence of each variable has not shown strong significance.

The production process of graphite glass at ABC faces challenges in the form of waste that has an impact on low operational efficiency. Waste in production activities can affect the quality, cost, and timeliness of product completion. This study aims to identify the most dominant types of waste and provide relevant improvement recommendations to improve production efficiency. The method used is Value Stream Mapping (VSM), a visual approach that maps the flow of the production process from raw materials to final products. The research stage is carried out through direct observation on the production floor, time study, interviews with employees, and documentation of production activities. The results of the analysis show that the most dominant form of waste is overprocessing, which is a repetitive activity that does not add value to the product. This causes longer production cycle times and reduces the effectiveness of resource use. To overcome this, this study provides several recommendations, including: combining production processes that have similar functions, redesigning workflows to make them more concise, and eliminating activities that do not provide added value. The implementation of this improvement has proven to be effective by increasing the Process Cycle Efficiency (PCE) value from 45% to 67%. The increase in PCE reflects that the production process has become more efficient, the workflow is smoother, and the rate of waste has decreased significantly. In addition, the results of this study also confirm that the application of the VSM method can be a strategic solution in identifying sources of inefficiency, designing continuous improvements, and increasing the competitiveness of companies. Thus, the company is expected to continue to evaluate, control, innovate, and improve technology so that efficiency achievements can be maintained, expanded, and improved consistently and sustainably in the future.

This study aims to analyze the financial performance of PT ABC Tbk during the period 2019–2023 using the Du Pont System as the primary analytical tool. The Du Pont System is widely recognized as a comprehensive method to evaluate a company’s overall performance by breaking down profitability into several key components: net profit margin, total asset turnover, return on investment (ROI), equity multiplier, and return on equity (ROE). The research employs a descriptive quantitative approach, with data sourced from secondary materials in the form of official financial statements published by the Indonesia Stock Exchange (IDX). A purposive sampling technique was applied to ensure the relevance and accuracy of the data analyzed. The findings reveal that the company’s financial performance throughout the five-year observation period has been less than optimal. Each of the main components of the Du Pont System showed average ratios that fell below the industry benchmark, indicating structural weaknesses in both profitability and efficiency. Specifically, the net profit margin and total asset turnover were constrained by high operational costs, while ROI and ROE were further pressured by volatility in foreign exchange rates. These inefficiencies highlight the vulnerability of the company’s financial structure to both internal management challenges and external macroeconomic factors. Based on the results, the study provides several strategic recommendations to improve financial performance. First, optimization of cost management is necessary to reduce operational inefficiencies that directly affect profit margins. Second, the implementation of foreign exchange risk mitigation strategies, such as hedging, is suggested to minimize the negative impacts of currency fluctuations. Finally, to strengthen revenue growth, the company is encouraged to adopt and expand digital marketing initiatives as a means of improving sales performance and market penetration. Overall, this study emphasizes the importance of integrating financial control with strategic innovation to ensure long-term sustainability and competitiveness in the pharmaceutical industry.

In the ever-evolving e-commerce era, the Nibras Online Warehouse plays a crucial role in supporting the distribution of Muslim clothing products throughout Indonesia. This strategic role demands an accurate and efficient inventory management system to ensure smooth and timely order fulfillment. One of the main challenges faced is the discrepancy between inventory data recorded on the website and the actual physical stock available in the warehouse. This discrepancy not only impacts delivery delays but also has the potential to reduce customer satisfaction and the company's overall image. This study aims to analyze the root causes of the inventory management system and develop practical solutions to ensure data consistency between the digital system and real-world conditions. The methods used include literature review, direct field observations, in-depth interviews with warehouse staff, and documentation of daily operational processes. Through an analytical approach using the 5 Whys method and a fishbone diagram, it was found that factors such as delays in data input, lack of synchronization between the operational and IT divisions, and an undocumented goods receipt process were the main causes of inventory data discrepancies. To address this, it is recommended to implement a real-time technology-based inventory management system integrated with the online sales system. Additionally, training warehouse employees on new standard operating procedures (SOPs) and regular stock audits are crucial steps to create transparency and efficiency. These steps are expected to improve data accuracy, accelerate decision-making, and support sustainable business growth. Regular evaluations are also necessary to ensure the implemented system remains relevant and adaptable to the dynamics of warehouse operations.

This study evaluates the effectiveness of the SAP accounting information system in supporting the implementation of the Independent Learning–Independent Campus (MBKM) Internship Program at PT Japfa Comfeed Indonesia Tbk, Gedangan Unit. SAP, as an integrated Enterprise Resource Planning (ERP) system, was adopted to replace the previous desktop-based system, which had significant limitations, such as restricted local access, dependence on additional licenses, and lower integration capabilities across departments. The main objective of this research is to determine how SAP contributes to improving organizational efficiency while simultaneously providing practical learning opportunities for students participating in the MBKM internship program. A descriptive qualitative approach was employed, with data collected through direct observation of company operations, semi-structured interviews with student interns and field supervisors, and analysis of company documentation. The findings indicate that the use of SAP has enhanced efficiency, accuracy, and speed in recording and reporting financial transactions. Through their internship, students engaged directly in business processes, particularly in handling purchase requisitions, reimbursement procedures, and asset management activities. This exposure enabled students to develop a deeper understanding of integrated financial systems and the workflow of a large-scale agribusiness corporation. Although several technical challenges were encountered, particularly in the form of temporary network disruptions, such issues did not substantially hinder the system’s overall performance. The availability of prompt technical support from the company’s IT team minimized potential negative impacts and ensured system continuity. Beyond improving corporate financial governance, SAP also offered valuable experiential learning for interns, bridging theoretical knowledge acquired in academic settings with real-world industrial applications. Overall, the study concludes that SAP functions not only as a strategic enterprise tool for the company but also as an effective educational medium that supports the success of the MBKM internship program.

UD. Indokarya Brass is a company engaged in the brass handicraft industry with its main products being door handles and bells. The main raw materials used in the production process include brass, copper, tin, and aluminum, which are obtained from suppliers both within and outside the city. On average, raw materials are received weekly with quantities of 50–100 kg of brass, 7–10 kg of copper, 10–15 kg of tin, and 3–5 kg of aluminum. In addition, the company also uses additional materials in the form of thinner and epoxy purchased from nearby hardware stores with less frequent purchases, namely 5–10 liters of thinner every month and around 5 kg of epoxy every two months. To date, the company has not had a structured policy for procurement and control of raw material inventory. This condition results in excess inventory of several types of raw materials which actually incurs high costs, both in terms of storage costs and warehouse maintenance costs. This excess inventory ultimately has an impact on reduced efficiency and decreased company profits. This study was conducted to analyze the existing inventory system and compare the company's current policy with a proposed method for more optimal inventory control. The calculation results show that the proposed method is able to provide significant inventory cost savings, namely 83.25% in brass raw materials, 15.28% in copper, 14.6% in tin, 43.37% in aluminum, 4.66% in epoxy, 4.2% in thinner, and 40.7% in other raw materials. Thus, the implementation of the right inventory control method can improve operational efficiency and help companies reduce cost burdens, so that profits can be more optimal.

Human resources (HR) are a crucial component of any organization, playing a vital role in determining its development and success. One key aspect of HR management is employee performance, which reflects the quality and quantity of employee output in meeting company targets. This study focuses on PT REX Denpasar, a logistics company that experienced fluctuations in monthly revenue throughout 2023. This phenomenon indicates performance issues related to work quantity, delivery accuracy, and time efficiency. Several operational issues identified included variability in staff productivity, delays in delivery schedules, and inaccuracies in shipping data processing. To explore solutions to these challenges, the study examined the role of managerial leadership and financial incentives in improving employee performance, with job satisfaction as a mediating variable. This study covered all 40 employees of PT REX Denpasar, using a comprehensive enumeration sampling method. Data were collected through structured questionnaires, in-depth interviews, and a review of organizational records. Analysis was conducted using a structural path modeling approach to examine the relationships between variables. The results showed that managerial leadership had a significant effect on job satisfaction, as did the financial incentives provided by the company. Furthermore, leadership quality and compensation systems have been shown to have a positive correlation with improved employee performance. Furthermore, job satisfaction was found to act as a substantial mediator, strengthening the influence of leadership and compensation on performance. Thus, improving leadership quality and improving compensation mechanisms not only have a direct impact but also an indirect impact through increased job satisfaction.

PT. Soemo Adjie Persada is a company engaged in housing development and is dealing with serious problems in warehouse material management. The manual and unstructured material recording system causes various obstacles, such as data discrepancies, input errors, and stockouts that hamper the smooth running of the project. This study aims to analyze and implement the Kanban system as a more efficient and accurate material management solution. The study was conducted using a qualitative descriptive approach through interviews, observations, and documentation methods. The findings show that the Kanban system, which is based on the principle of workflow visualization and a pull system mechanism, can improve the efficiency of recording and distributing materials between project units. The implementation of Kanban helps reduce data input errors, prevent material loss, and accelerate the decision-making process in the warehouse. Although challenges such as damaged Kanban cards and difficulty adapting among users were encountered in the initial implementation stage, these obstacles can be overcome through proper training and regular evaluation of the system. Thus, the implementation of the Kanban system has proven to be an effective strategy in improving the efficiency of material management in construction projects. This system not only streamlines warehouse operations but also improves control over material availability, thereby supporting the smooth running of the overall construction process. PT. Soemo Adjie Persada is a company engaged in housing development and is dealing with serious problems in warehouse material management. The manual and unstructured material recording system causes various obstacles, such as data discrepancies, input errors, and stockouts that hinder project progress. This study aims to analyze and implement the Kanban system as a more efficient and accurate material management solution. The study was conducted using a qualitative descriptive approach through interviews, observation, and documentation.

This study aims to evaluate the effectiveness of current asset management, specifically cash, receivables, and inventory, and its impact on a company's ability to generate profits. The study focused on companies in the automotive sector listed on the Indonesia Stock Exchange (IDX) from 2020 to 2023. The research approach used a quantitative method with secondary data sourced from annual financial reports. The study sample included 11 companies, resulting in a total of 44 observational data sets over four years. Data analysis was performed using SPSS version 25 software to examine the relationships and influences between the study variables. The test results showed that cash management did not significantly influence profitability. This indicates that the amount of available cash does not always correlate with profit, possibly because cash funds are not optimally utilized in productive activities. Conversely, receivables management showed a negative correlation with profitability. This finding suggests that high receivables can burden cash flow and reduce a company's ability to generate profits. Meanwhile, inventory management has a positive and significant impact on profitability, indicating that good inventory control can support smooth production and sales, thereby increasing profits. Together, these three variables explained 68.4% of the variation in company profitability, while the remaining 31.6% was influenced by factors outside the model, such as operational efficiency, cost structure, and marketing strategy. These findings provide insights for automotive company management to prioritize inventory management and review cash and receivables policies to optimize financial performance.

This study aims to examine the effect of Thin Capitalization, Sales Growth, and Capital Intensity on Tax Avoidance, with Institutional Ownership as a moderating variable in coal sub-sector companies listed on the Indonesia Stock Exchange (IDX) during the 2019–2023 period. The background of this study is based on the importance of tax management as a company efficiency strategy, while maintaining compliance with tax regulations. The coal industry was chosen because of its capital-intensive characteristics, fluctuating sales growth rates, and the tendency of companies to engage in aggressive tax planning. The research method uses a quantitative approach with a purposive sampling technique, resulting in 50 company samples during the observation period. Data were analyzed using multiple linear regression with the help of E-Views 13 software to test the direct relationship between variables, and Moderated Regression Analysis (MRA) to test the role of Institutional Ownership as a moderating variable. The results show that Thin Capitalization has no significant effect on Tax Avoidance, which indicates that high debt ratios are not always utilized by companies to reduce tax burdens. Capital Intensity also had no significant effect on Tax Avoidance, indicating that the size of fixed asset investments does not directly influence tax avoidance practices. Conversely, Sales Growth had a significant positive effect on Tax Avoidance, indicating that high sales growth tends to encourage companies to optimize tax-saving strategies. Furthermore, the results of the moderation test revealed that Institutional Ownership did not moderate the relationship between Thin Capitalization, Sales Growth, or Capital Intensity on Tax Avoidance. This finding suggests that the supervisory role of institutional shareholders is ineffective in limiting or influencing tax avoidance strategies in coal companies. This research provides implications for regulators and investors to consider non-financial factors and governance mechanisms in efforts to control tax avoidance practices in strategic sectors like coal.